DDIExtractor: a web-based java tool for extracting drug-drug interactions from biomedical texts

Authors:
Daniel Sánchez-Cisneros;Isabel Segura-Bedmar;Paloma Martínez
Affiliations:
University Carlos III of Madrid, Computer Science Department, Leganés, Madrid, Spain;University Carlos III of Madrid, Computer Science Department, Leganés, Madrid, Spain;University Carlos III of Madrid, Computer Science Department, Leganés, Madrid, Spain
Venue:
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Year:
2011

Citing 2
Cited 0

Implementing the iHOP concept for navigation of biomedical literature

Bioinformatics
Using a shallow linguistic kernel for drug-drug interaction extraction

Journal of Biomedical Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

A drug-drug interaction (DDIs) occurs when one drug influences the level or activity of another drug. The detection of DDIs is an important research area in patient safety since these interactions can become very dangerous and increase health care costs. Although there are several databases and web tools providing information on DDIs to patients and health-care professionals, these resources are not comprehensive because many DDIs are only reported in the biomedical literature. This paper presents the first tool for detecting drug-drug interactions from biomedical texts called DDIExtractor. The tool allows users to search by keywords in theMedline 2010 baseline database and then detect drugs and DDIs in any retrieved document.